This package is considered a duplicate. The official version of this package is found at:https://ahoundetoungan.r-universe.dev/PartialNetwork

Package: PartialNetwork 1.1.2

Aristide Houndetoungan

PartialNetwork: Estimating Peer Effects Using Partial Network Data

Implements IV-estimator and Bayesian estimator for linear-in-means Spatial Autoregressive (SAR) model (see LeSage, 1997 <doi:10.1177/016001769702000107>; Lee, 2004 <doi:10.1111/j.1468-0262.2004.00558.x>; Bramoullé et al., 2009 <doi:10.1016/j.jeconom.2008.12.021>), while assuming that only a partial information about the network structure is available. Examples are when the adjacency matrix is not fully observed or when only consistent estimation of the network formation model is available (see Boucher and Houndetoungan, 2025 <doi:10.48550/arXiv.2509.08145>).

Authors:Vincent Boucher [aut], Aristide Houndetoungan [cre, aut]

PartialNetwork_1.1.2.tar.gz
PartialNetwork_1.1.2.tar.gz(r-4.7-arm64)PartialNetwork_1.1.2.tar.gz(r-4.7-x86_64)PartialNetwork_1.1.2.tar.gz(r-4.6-arm64)PartialNetwork_1.1.2.tar.gz(r-4.6-x86_64)
PartialNetwork_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PartialNetwork/json (API)
NEWS

# Install 'PartialNetwork' in R:

install.packages('PartialNetwork', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ahoundetoungan/partialnetwork/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

2.70 score 25 scripts 201 downloads 16 exports 18 dependencies

Last updated from:1b66e35b2c. Checks:4 WARNING, 2 OK. Indexed: no.

Target	Result	Time
linux-devel-arm64	WARNING	388
linux-devel-x86_64	WARNING	329
source / vignettes	OK	498
linux-release-arm64	WARNING	335
linux-release-x86_64	WARNING	303
wasm-release	OK	314

Exports:dvMF fit.dnetwork logCpvMF mat.to.vec mcmcARD mcmcSAR norm.network peer.avg remove.ids rvMF sim.dnetwork sim.IV sim.network simSAR smmSAR vec.to.mat

Dependencies:abind codetools digest doParallel doRNG foreach Formula formula.tools iterators lattice Matrix operator.tools Rcpp RcppArmadillo RcppEigen RcppNumerical RcppProgress rngtools

PartialNetwork: An R Package for Estimating Peer Effects Using Partial Network Data

Vincent Boucher and Elysée Aristide Houndetoungan

Rendered fromPartialNetwork_vignette.Rmdusingknitr::rmarkdownon Jun 08 2026.

Last update: 2025-11-10
Started: 2023-08-22

Citation

Readme and manuals

Help Manual

Help page	Topics
The PartialNetwork package	PartialNetwork-package PartialNetwork
Density function of the von Mises-Fisher distribution	dvMF
Fitting Network Distribution using ARD.	fit.dnetwork
Normalization constant of the von Mises-Fisher distribution	logCpvMF
Estimate network model using ARD	mcmcARD
Bayesian Estimator of SAR model	mcmcSAR
Computing peer average value	peer.avg
Plotting estimation of Bayesian SAR model	plot.mcmcSAR print.plot.mcmcSAR
Removes IDs with NA in a list of adjacency matrices optimally	remove.ids
Simulation from the von Mises-Fisher distribution	rvMF
Simulation of the distribution of the network for Breza et al. (2020)	sim.dnetwork
Instrument Variables for SAR model	sim.IV
Simulating network data	sim.network
Simulating Linear Peer Effect Models	simSAR
Simulated Method of Moments (SMM) Estimator of SAR model	smmSAR
Summarizing Bayesian SAR Model	print.mcmcSAR print.summary.mcmcSAR summary.mcmcSAR
Summarizing SMM Estimation of SAR model	print.smmSAR print.summary.smmSAR summary.smmSAR
Creating objects for network models	mat.to.vec norm.network vec.to.mat